Sample of chapter 4 of a research paper

Flow cytometry is well suited to the detection of rare events. If suitable markers are available to separate the cells being analysed from the other events, as few as 1 cell in 10 7  can be measured. In order to achieve a count of the desired statistical significance, only the total number of positive events (n) is relevant. In the absence of any background, the standard deviation (SD) will be equal to √n. For a CV of 3%, 1000  positive cells need to be counted. If there are non-specific events present, this number increases. If ‘a’ events are recorded from the positive sample and ‘b’ from the negative control, the SD is √(a + b). Increasing the number of identifying markers will, generally, improve the separation of the positive cells from the bulk population and increase the precision of the measurement.

Sample of chapter 4 of a research paper

sample of chapter 4 of a research paper

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